Sr. SLAM Engineer
Lucid Motors7 hours ago
Responsibilities
- Design and develop visual SLAM, LiDAR SLAM, visual-inertial odometry, multi-sensor localization, multi-session SLAM, and multi-route SLAM systems.
- Build loop-closure, relocalization, place-recognition, drift-correction, pose-graph, bundle-adjustment, and collaborative mapping capabilities.
- Develop scalable localization-map, HD-map, lane-level mapping, road-graph, landmark-management, and map-quality pipelines.
- Implement map change detection, incremental updates, versioning, rollback, freshness monitoring, and conflicting-observation resolution.
- Develop camera-LiDAR-GNSS-IMU fusion, trajectory estimation, calibration monitoring, localization confidence, integrity, and uncertainty metrics.
- Optimize and deploy algorithms for large-scale cloud processing and vehicles, including distributed processing of fleet sensor and telemetry datasets.
- Build benchmarking, regression-testing, visualization, debugging, and map-quality assurance tools.
- Collaborate with Navigation, Perception, Vehicle Integration, Data Platform, and GeoAI teams to deliver production mapping and localization systems.
Requirements
- MS or PhD in Robotics, Computer Science, Electrical Engineering, Computer Vision, or a related field.
- 5+ years of experience in SLAM, localization, mapping, robotics, or autonomous systems.
- Strong software engineering skills in C++ and Python.
- Deep understanding of visual SLAM, LiDAR SLAM, VIO, state estimation, sensor fusion, factor graphs, bundle adjustment, pose-graph optimization, loop closure, place recognition, and multi-view geometry.
- Hands-on experience with GTSAM, Ceres Solver, OpenCV, Eigen, and ROS/ROS2.
- Experience profiling, debugging, validating, and deploying complex robotics algorithms in production-oriented environments.
- Experience building fleet-scale mapping and localization systems for autonomous driving, robotics, mobile mapping, or geospatial applications.
- Experience with multi-session SLAM, multi-route SLAM, collaborative mapping, global pose-graph optimization, large-scale bundle adjustment, HD maps, map updates, map versioning, and long-term landmark management.
- Experience processing large-scale camera, LiDAR, GNSS, IMU, and vehicle telemetry datasets using distributed infrastructure.
- Experience with production localization integrity, map-quality evaluation, calibration monitoring, and system-level performance analysis.
- Publications, patents, or significant technical contributions in SLAM, localization, robotics, computer vision, or mapping systems are a plus.
Benefits
- Medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays; paid sick leave; and a 401(k) retirement plan.
- Eligible employees may participate in Lucid's equity program and/or a discretionary annual cash incentive program.
- Salaried/exempt employees accrue up to 160 hours of paid time off, while hourly/non-exempt employees accrue up to 120 hours.
About Lucid Motors
Lucid Motors designs, manufactures, and sells premium electric vehicles, including the Lucid Air sedan and Gravity SUV, built on its in-house EV platform. The public company, founded in 2016 and headquartered in Newark, California, sells directly through its website and showrooms and operates manufacturing in Arizona. It also supplies powertrain technology to other automakers and develops software and driver-assistance features for its vehicles.